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Comparing heuristic algorithms of the planar storage location assignment problem

Author

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  • Park, Changkyu
  • Seo, Junyong

Abstract

This paper discusses the newly defined planar storage location assignment problem (PSLAP). We develop a mathematical programming model and GA-based and dynamic PSLAP heuristic algorithms for the solving procedure. Using the testing set, we compare the performance of GA-based and dynamic PSLAP heuristic algorithms. The mathematical programming model is utilized as a comparison criterion. The comparison results demonstrate that the dynamic PSLAP heuristic algorithm performs better than the other solving procedures. In addition, we describe simulation experiments conducted to investigate the effects of stock yard layout and production schedule instability on the operation of the block stock yard.

Suggested Citation

  • Park, Changkyu & Seo, Junyong, 2010. "Comparing heuristic algorithms of the planar storage location assignment problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(1), pages 171-185, January.
  • Handle: RePEc:eee:transe:v:46:y:2010:i:1:p:171-185
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    Cited by:

    1. Xu, Xin-yue & Liu, Jun & Li, Hai-ying & Jiang, Man, 2016. "Capacity-oriented passenger flow control under uncertain demand: Algorithm development and real-world case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 87(C), pages 130-148.

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